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Perform greedy histogram merge in a unified way.

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Previously, the stochastic method for histogram
combination could finish in a greedy way
if the number of iterations to perform so was smaller.

Except that another greedy combination was performed
afterwards ... hence wasted CPU in some cases.

Change-Id: Ic0f26873e6dc746679486b91cb35d73efee91931
This commit is contained in:
Vincent Rabaud 2017-02-06 21:04:03 +01:00
parent 5b393f2d2a
commit 868aa6901f
1 changed files with 31 additions and 36 deletions
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53
src/enc/histogram_enc.c
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@ -777,10 +777,13 @@ static int HistogramCombineGreedy(VP8LHistogramSet* const image_histo) {
return ok;
}
// Perform histogram aggregation using a stochastic approach.
// 'do_greedy' is set to 1 if a greedy approach needs to be performed
// afterwards, 0 otherwise.
static void HistogramCombineStochastic(VP8LHistogramSet* const image_histo,
VP8LHistogram* tmp_histo,
VP8LHistogram* best_combo,
int quality, int min_cluster_size) {
VP8LHistogram* best_combo, int quality,
int min_cluster_size, int* do_greedy) {
int iter;
uint32_t seed = 0;
int tries_with_no_success = 0;
@ -789,40 +792,37 @@ static void HistogramCombineStochastic(VP8LHistogramSet* const image_histo,
const int outer_iters = image_histo_size * iter_mult;
const int num_pairs = image_histo_size / 2;
const int num_tries_no_success = outer_iters / 2;
int idx2_max = image_histo_size - 1;
int do_brute_dorce = 0;
VP8LHistogram** const histograms = image_histo->histograms;
// Collapse similar histograms in 'image_histo'.
*do_greedy = (image_histo->size <= min_cluster_size);
++min_cluster_size;
for (iter = 0;
iter < outer_iters && image_histo_size >= min_cluster_size;
for (iter = 0; iter < outer_iters && image_histo_size >= min_cluster_size &&
++tries_with_no_success < num_tries_no_success;
++iter) {
double best_cost_diff = 0.;
int best_idx1 = -1, best_idx2 = 1;
int j;
int num_tries =
(num_pairs < image_histo_size) ? num_pairs : image_histo_size;
// Use a brute force approach if:
// - stochastic has not worked for a while and
// - if the number of iterations for brute force is less than the number of
// iterations if we never find a match ever again stochastically (hence
// num_tries times the number of remaining outer iterations).
do_brute_dorce =
(tries_with_no_success > 10) &&
(idx2_max * (idx2_max + 1) < 2 * num_tries * (outer_iters - iter));
if (do_brute_dorce) num_tries = idx2_max;
// If the stochastic method has not worked for a while (10 iterations) and
// if it requires less iterations to finish off with a greedy approach, go
// for it.
// With the greedy approach, each histogram is compared to the other ones,
// hence (image_histo_size-1)*image_histo_size/2 overall comparisons.
// Then, at each iteration, the best pair is merged and compared to all
// the other ones, adding (image_histo_size-2)*(image_histo_size-1)/2 more
// comparisons. Overall: (image_histo_size-1)^2 comparisons.
*do_greedy |= (tries_with_no_success > 10) &&
((image_histo_size - 1) * (image_histo_size - 1) <
num_tries * (outer_iters - iter));
if (*do_greedy) break;
seed += iter;
for (j = 0; j < num_tries; ++j) {
double curr_cost_diff;
// Choose two histograms at random and try to combine them.
uint32_t idx1, idx2;
if (do_brute_dorce) {
// Use a brute force approach.
idx1 = (uint32_t)j;
idx2 = (uint32_t)idx2_max;
} else {
const uint32_t tmp = (j & 7) + 1;
const uint32_t diff =
(tmp < 3) ? tmp : MyRand(&seed) % (image_histo_size - 1);
@ -831,7 +831,6 @@ static void HistogramCombineStochastic(VP8LHistogramSet* const image_histo,
if (idx1 == idx2) {
continue;
}
}
// Calculate cost reduction on combining.
curr_cost_diff = HistogramAddEval(histograms[idx1], histograms[idx2],
@ -843,24 +842,20 @@ static void HistogramCombineStochastic(VP8LHistogramSet* const image_histo,
best_idx2 = idx2;
}
}
if (do_brute_dorce) --idx2_max;
if (best_idx1 >= 0) {
HistogramSwap(&best_combo, &histograms[best_idx1]);
// swap best_idx2 slot with last one (which is now unused)
--image_histo_size;
if (idx2_max >= image_histo_size) idx2_max = image_histo_size - 1;
if (best_idx2 != image_histo_size) {
HistogramSwap(&histograms[image_histo_size], &histograms[best_idx2]);
histograms[image_histo_size] = NULL;
}
tries_with_no_success = 0;
}
if (++tries_with_no_success >= num_tries_no_success || idx2_max == 0) {
break;
}
}
image_histo->size = image_histo_size;
*do_greedy |= (image_histo->size <= min_cluster_size);
}
// -----------------------------------------------------------------------------
@ -970,10 +965,10 @@ int VP8LGetHistoImageSymbols(int xsize, int ysize,
const float x = quality / 100.f;
// cubic ramp between 1 and MAX_HISTO_GREEDY:
const int threshold_size = (int)(1 + (x * x * x) * (MAX_HISTO_GREEDY - 1));
int do_greedy;
HistogramCombineStochastic(image_histo, tmp_histos->histograms[0],
cur_combo, quality, threshold_size);
if ((image_histo->size <= threshold_size) &&
!HistogramCombineGreedy(image_histo)) {
cur_combo, quality, threshold_size, &do_greedy);
if (do_greedy && !HistogramCombineGreedy(image_histo)) {
goto Error;
}
}